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农业增加值会导致环境退化吗?来自阿塞拜疆的证据。

Does agricultural value-added induce environmental degradation? Evidence from Azerbaijan.

作者信息

Gurbuz Ismail Bulent, Nesirov Elcin, Ozkan Gulay

机构信息

Department of Agricultural Economics, Faculty of Agriculture, Bursa Uludag University, Gorukle, 16059, Nilufer, Bursa, Turkey.

出版信息

Environ Sci Pollut Res Int. 2021 May;28(18):23099-23112. doi: 10.1007/s11356-020-12228-3. Epub 2021 Jan 13.

Abstract

This study empirically analyzes the long-term relationship between agricultural production and carbon dioxide (CO) emissions in Azerbaijan using annual data covering the period of 1992-2014. Additionally, real income and energy consumption variables were included in the model in testing the existence of the environmental Kuznets curve (EKC) hypothesis. Autoregressive distributed lag (ARDL) method is undertaken to reveal the existence of the long-term relationship between the CO and its determinants. The ARDL mechanism shows that gross domestic product (GDP) and energy consumption have a positive and statistically significant effect on carbon dioxide emissions. However, agricultural production and the square of GDP have a negative impact on air pollution. Furthermore, when the coefficients of real GDP and squared GDP included in the model were examined to analyze the inverted-U-shaped relationship between economic growth and environmental pollution, the EKC hypothesis was confirmed to be valid. According to Toda-Yamamoto causality test results, there is a bidirectional relationship between GDP, the square of GDP, and carbon emissions. From energy consumption and agricultural value-added to CO emissions, a unidirectional Granger causality relationship was found. Ultimately, the findings suggest that policies and reforms that increase or support agricultural production will help lower the country's CO emissions level.

摘要

本研究利用1992 - 2014年的年度数据,对阿塞拜疆农业生产与二氧化碳(CO)排放之间的长期关系进行了实证分析。此外,在检验环境库兹涅茨曲线(EKC)假说的存在时,模型中纳入了实际收入和能源消耗变量。采用自回归分布滞后(ARDL)方法来揭示CO与其决定因素之间长期关系的存在。ARDL机制表明,国内生产总值(GDP)和能源消耗对二氧化碳排放具有正向且在统计上显著的影响。然而,农业生产和GDP的平方对空气污染有负面影响。此外,在检验模型中纳入的实际GDP和GDP平方的系数以分析经济增长与环境污染之间的倒U形关系时,EKC假说被证实是有效的。根据Toda - Yamamoto因果关系检验结果,GDP、GDP的平方与碳排放之间存在双向关系。从能源消耗和农业增加值到CO排放,发现了单向的格兰杰因果关系。最终,研究结果表明,增加或支持农业生产的政策和改革将有助于降低该国的CO排放水平。

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